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Medical Data Scientist Jobs (NOW HIRING)

Data Scientist

Irvine, CA · On-site

$100K - $130K/yr

DATA SCIENTIST REPORTS TO: DIRECTOR OF DATA SCIENCE STATUS: EXEMPT Summary Boot Barn is where ... Medical, Dental, Vision and Life Insurance.** * 401(k) plan with generous company matching.

Data Scientist

Seattle, WA · On-site

$192K - $288K/yr

Design, implement and launch data science solutions using Python and R to empower data-driven ... medical, dental, and vision benefits; and wellness stipends. WA04 #LI-D LINI

Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms * Mentor and guide junior data scientists and interns, fostering ...

Senior Data Scientist (Manufacturing & Operations) Overview: We are seeking an experienced Data ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

New

... Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

We are seeking a Data Scientist as part of a bid process associated with a Statement of Work. This ... medical condition, genetic information, sexual orientation, or any other status protected by ...

Job Title Data Scientist Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... Comprehensive healthcare benefits, including medical, vision, dental, and orthodontia coverage. * A ...

Data Scientist

$95K - $110K/yr

Summary We are seeking a data scientist to be a leading contributor towards our demand modeling and ... Medical, dental, and vision insurance * 401(k) with employer match * Paid parental leave (up to 14 ...

... Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

Data Scientist

$121K - $160K/yr

As a Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML ... Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage ...

AnaVation is seeking four (4) Data Scientists with minimum Secret level or higher clearances to ... Generous cost sharing for medical insurance for the employee and dependents * 100% company paid ...

Data Scientist

Lehi, UT

$120K - $145K/yr

KēSTA I.T. is actively seeking multiple mid-level Data Scientists for immediate full-time ... Interest in or familiarity with medical informatics * About KēSTA I.T.: Our name says it all;

As a Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML ... Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage ...

... Medical, dental, vision, telemedicine, supplemental insurance benefits, long-term and short-term ... As a Data Scientist at GLS, you will play a vital role in addressing critical business challenges ...

Data Scientist

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is searching for an experienced Data Scientist with expertise in data analysis, data science ... off, medical, dental, vision and life insurance. Employees also receive 10 paid holidays per year.

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$37.5K

$122.7K

$196.5K

How much do medical data scientist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for medical data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is a Medical Data Scientist?

A Medical Data Scientist is a professional who specializes in analyzing complex healthcare data to uncover insights that can improve patient outcomes, medical research, and operational efficiency within healthcare organizations. They use statistical analysis, machine learning, and data visualization techniques to interpret large datasets, such as electronic health records, genomic data, or clinical trial results. Medical Data Scientists work closely with clinicians, researchers, and IT specialists to develop predictive models, identify trends, and support evidence-based decision making. Their work is essential in advancing personalized medicine and optimizing healthcare practices.

What are the key skills and qualifications needed to thrive as a Medical Data Scientist, and why are they important?

To thrive as a Medical Data Scientist, you need a strong background in statistics, machine learning, and programming (often with a degree in data science, computer science, or a related medical discipline). Expertise in tools such as Python, R, SQL, and experience with healthcare data standards (like HL7 or FHIR) or certifications in health informatics are highly valuable. Excellent problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders set outstanding candidates apart. These skills ensure accurate analysis of complex healthcare datasets, enabling data-driven decisions that improve patient outcomes and operational efficiency.

How does a Medical Data Scientist typically collaborate with healthcare professionals and interdisciplinary teams?

Medical Data Scientists often work closely with clinicians, biostatisticians, IT specialists, and researchers to analyze healthcare data and develop actionable insights. Collaboration may involve translating complex data findings into practical recommendations for patient care or operational improvements. Effective communication skills are essential, as you'll frequently present results to non-technical stakeholders and gather input to refine analytical models. This interdisciplinary approach helps ensure that data-driven solutions are both scientifically sound and clinically relevant.

What is the difference between Medical Data Scientist vs Data Analyst in Healthcare?

AspectMedical Data ScientistData Analyst in Healthcare
Required CredentialsDegree in Data Science, Biostatistics, or related field; knowledge of healthcare dataDegree in Data Analysis, Statistics, or related; often less specialized in healthcare
Work EnvironmentResearch institutions, hospitals, healthcare tech companiesHospitals, clinics, healthcare organizations, insurance companies
Employer & Industry UsageUsed for developing predictive models, research, and advanced analyticsUsed for reporting, data visualization, and basic data interpretation

Medical Data Scientists focus on advanced analytics, predictive modeling, and research within healthcare settings, requiring specialized skills and education. Data Analysts in Healthcare typically handle data reporting and visualization tasks, often with less emphasis on complex modeling. Both roles are vital but differ in complexity, scope, and technical expertise.

More about Medical Data Scientist jobs
What cities are hiring for Medical Data Scientist jobs? Cities with the most Medical Data Scientist job openings:
What states have the most Medical Data Scientist jobs? States with the most job openings for Medical Data Scientist jobs include:
Infographic showing various Medical Data Scientist job openings in the United States as of June 2026, with employment types broken down into 61% Full Time, 26% Part Time, and 13% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Job Description Summary
Job Description
DUTIES:
  • Support development of advanced decision support systems by employing advanced techniques from data analytics including statistical analysis, and machine learning, particularly including NLP.
  • Develop capabilities that improve the performance of the business units and improve efficiency.
  • Work with business partners to define a business use case utilizing machine learning or advanced analytics.
  • Collect, clean, and analyze data from various heterogeneous data sources.
  • Develop machine learning models for prediction or classification in support of a business use case. Implement advanced AI solutions, e.g., deep learning. Deploy models to production systems using Docker containers.
  • Write Python modules to automate Data Science tasks. Review Python code of junior colleagues.

REQUIREMENTS:
  • Master's degree in Computer Science, MIS, Data Science, or related.
  • Three (3) years of data science or related experience.
  • Three (3) years of data science or related experience must include:
  • Data Science;
  • Demonstrated ability explaining machine learning and statistical methods using clear, domain-specific language;
  • Machine learning algorithms, including natural language processing (NLP) techniques;
  • Foundation in statistical methods such as hypothesis testing, confidence intervals, and regression analysis;
  • Programming in Python, with hands-on experience using libraries such as pandas, scikit-learn, NumPy, and either PyTorch or TensorFlow;
  • Writing optimized SQL queries for data extraction and transformation;
  • Developing and deploying predictive models that improve measurable business outcomes;
  • Deploying ML systems to production environments using tools such as Docker, Kubernetes, or cloud platforms (e.g., Azure, AWS, GCP);
  • Working with Agile methodologies, including sprint planning, task estimation, and iterative development.

SALARY:
$137,000 per year
Education
Work Experience
Certifications
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
• Grow professionally and inspire others to do the same
• Work with and through others to achieve desired outcomes
• Make prompt, pragmatic choices and act with the client in mind
• Take ownership and hold themselves and others accountable for delivering results that matter
• Contribute to the continuous evolution of the firm
At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.